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Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model

机译:基于单轮模型的地下挖掘电动汽车纵向运动模糊参数调谐滑模控制

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This paper first presents a simplified single wheel model for underground mining electric vehicles with bounds of system uncertainties. Then, a fuzzy parameter tuning (FPT) technique is used to adjust the parameters in the sliding mode control (SMC) to improve system stability and robustness at an unexpected external disturbances and unbound system uncertainties. The comparison of the simulation results shows that the proposed control strategy has better performance than the SMCs without applying fuzzy tuning technique.
机译:本文首先为地下采矿电动汽车提供了一种简化的单轮模型,具有系统不确定性的界限。然后,采用模糊参数调谐(FPT)技术来调整滑模控制(SMC)中的参数,以提高意外的外部干扰和未结合系统不确定性的系统稳定性和鲁棒性。仿真结果的比较表明,在不应用模糊调谐技术的情况下,所提出的控制策略具有比SMC更好的性能。

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